The relation of dietary choline to cognitive performance and white-matter hyperintensity in the Framingham Offspring Cohort
Abstract
Background Choline is the precursor to the neurotransmitter acetylcholine. Loss of cholinergic neurons is associated with impaired cognitive function, particularly memory loss and Alzheimer disease (AD). Brain atrophy and white-matter hyperintensity (WMH) are also associated with impaired cognitive function and AD. Objective The objective was to determine whether a relation exists between dietary choline intake, cognitive function, and brain morphology in a large, nondemented community-based cohort. Design A dementia-free cohort of 1391 subjects (744 women, 647 men; age range: 36-83 y; mean ± SD age: 60.9 ± 9.29 y) from the Framingham Offspring population completed a food-frequency questionnaire administered from 1991 to 1995 (exam 5; remote intake) and from 1998 to 2001 (exam 7; concurrent intake). Participants underwent neuropsychological evaluation and brain MRI at exam 7. Four neuropsychological factors were constructed: verbal memory (VM), visual memory (VsM), verbal learning, and executive function. MRI measures included WMH volume (WMHV). Results Performance on the VM and VsM factors was better with higher concurrent choline intake in multivariable-adjusted models for VM (average change in neuropsychological factor per 1-unit change in choline = 0.60; 95% CI: 0.29, 0.91; P Conclusion In this community-based population of nondemented individuals, higher concurrent choline intake was related to better cognitive performance, whereas higher remote choline intake was associ…
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Studies have shown benefits of dietary choline intake and supplementation on cognitive performance in human individuals and in animal models.
“This finding aligns with studies showing benefits of dietary choline intake and supplementation on cognitive performance in human individuals and in animal models71–78.”
From Single-cell multiregion dissection of Alzheimer’s disease (2024) · cites this paper as [72]
Cites
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980 · see citing works
Reproducibility and validity of a semiquantitative food frequency questionnaire
WILLETT, W. C., SAMPSON, L., STAMPFER, M. J., ROSNER, B., BAIN, C., WITSCHI, J., HENNEKENS, C. H., & SPEIZER, F. E. (1985) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114086 · Cited by 4,274 · see citing works
Plasma Homocysteine as a Risk Factor for Dementia and Alzheimer's Disease
Seshadri, S., Beiser, A., Selhub, J., Jacques, P. F., Rosenberg, I. H., D'Agostino, R. B., Wilson, P. W. F., & Wolf, P. A. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa011613 · Cited by 3,237 · see citing works
Self-citationIncidence and precursors of hypertension in young adults: The Framingham offspring study
Garrison, R. J., Kannel, W. B., Stokes, J., & Castelli, W. P. (1987) · Preventive Medicine · doi:10.1016/0091-7435(87)90087-9 · Cited by 789 · see citing works
Au, R., Massaro, J. M., Wolf, P. A., Young, M. E., Beiser, A., Seshadri, S., D’Agostino, R. B., & DeCarli, C. (2006) · Archives of Neurology · doi:10.1001/archneur.63.2.246 · Cited by 381 · see citing works
Self-citationSystematic Regional Variations in the Loss of Cortical Cholinergic Fibers in Alzheimer's Disease
Geula, C., & Mesulam, M.-M. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.2.165 · Cited by 202 · cited 1× · see citing works
“Neuropathologic studies of brains showed reductions in cortical cholinergic markers correlated significantly with AD (9, 13, 62).”
BackgroundParnetti, L., Amenta, F., & Gallai, V. (2001) · Mechanisms of Ageing and Development · doi:10.1016/s0047-6374(01)00312-8 · Cited by 132 · see citing works
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Single-cell multiregion dissection of Alzheimer’s disease
Mathys, H., Boix, C. A., Akay, L. A., Xia, Z., Davila-Velderrain, J., Ng, A. P., Jiang, X., Abdelhady, G., Galani, K., Mantero, J., et al. (2024) · Nature · doi:10.1038/s41586-024-07606-7 · Cited by 343 · see citing works
Schugar, R. C., Shih, D. M., Warrier, M., Helsley, R. N., Burrows, A., Ferguson, D., Brown, A. L., Gromovsky, A. D., Heine, M., Chatterjee, A., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.05.077 · Cited by 291 · see citing works
Yuan, J., Liu, X., Liu, C., Ang, A. F., Massaro, J., Devine, S. A., Auerbach, S. H., Blusztajn, J. K., Au, R., & Jacques, P. F. (2022) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqac193 · Cited by 61 · see citing works
Self-citationAlzheimer’s disease and gut microbiota: does trimethylamine N-oxide (TMAO) play a role?
Arrona Cardoza, P., Spillane, M. B., & Morales Marroquin, E. (2022) · Nutrition Reviews · doi:10.1093/nutrit/nuab022 · Cited by 53 · see citing works
Plasma Trimethylamine N-Oxide (TMAO): Associations with Cognition, Neuroimaging, and Dementia
Yaqub, A., Vojinovic, D., Vernooij, M. W., Slagboom, P. E., Ghanbari, M., Beekman, M., van der Grond, J., Hankemeier, T., van Duijn, C. M., Ikram, M. A., et al. (2024) · Alzheimer's Research & Therapy · doi:10.1186/s13195-024-01480-1 · Cited by 37 · see citing works
- Authors
- Poly, C., Massaro, J. M., Seshadri, S., Wolf, P. A., Cho, E., Krall, E., Jacques, P. F., & Au, R.
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2011-12
- Volume
- 94
- Issue
- 6
- Pages
- 1584-1591
- ISSN
- 0002-9165
- Cited by
- 141
- References
- 7
- Language
- en
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